• Partner with Marketing teams to analyze and optimize the full customer funnel, including acquisition, conversion, retention, and churn. • Build and maintain statistical models and analyses related to key marketing use cases such as attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimization. • Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations. • Translate ambiguous business questions into well-scoped analytical projects with clear success metrics and timelines. • Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well-modeled datasets for marketing analytics. • Clearly communicate findings and recommendations to non-technical stakeholders through presentations, dashboards, and written documentation. • Contribute to shared analytics and modeling best practices within the data science team, including code quality, validation, and documentation. • Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate. • Stay current on industry trends and techniques in marketing analytics, experimentation, and applied data science, and apply them pragmatically to Hone’s context.